Literature DB >> 33183845

Artificial Intelligence in Thoracic Radiology. A Challenge in COVID-19 Times?

María Dolores Corbacho Abelaira1, Alberto Ruano-Ravina2, Alberto Fernández-Villar3.   

Abstract

Year:  2020        PMID： 33183845      PMCID： PMC7578193          DOI： 10.1016/j.arbres.2020.10.008

Source DB:  PubMed          Journal:  Arch Bronconeumol        ISSN： 0300-2896            Impact factor:   4.872


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  14 in total

1.  Machine Learning in Radiology: Applications Beyond Image Interpretation.

Authors:  Paras Lakhani; Adam B Prater; R Kent Hutson; Kathy P Andriole; Keith J Dreyer; Jose Morey; Luciano M Prevedello; Toshi J Clark; J Raymond Geis; Jason N Itri; C Matthew Hawkins
Journal:  J Am Coll Radiol       Date:  2017-11-17       Impact factor: 5.532

2.  Machine learning-based CT radiomics method for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: a multicenter study.

Authors:  Hongmei Yue; Qian Yu; Chuan Liu; Yifei Huang; Zicheng Jiang; Chuxiao Shao; Hongguang Zhang; Baoyi Ma; Yuancheng Wang; Guanghang Xie; Haijun Zhang; Xiaoguo Li; Ning Kang; Xiangpan Meng; Shan Huang; Dan Xu; Junqiang Lei; Huihong Huang; Jie Yang; Jiansong Ji; Hongqiu Pan; Shengqiang Zou; Shenghong Ju; Xiaolong Qi
Journal:  Ann Transl Med       Date:  2020-07

3.  Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

Authors:  Germán González; Samuel Y Ash; Gonzalo Vegas-Sánchez-Ferrero; Jorge Onieva Onieva; Farbod N Rahaghi; James C Ross; Alejandro Díaz; Raúl San José Estépar; George R Washko
Journal:  Am J Respir Crit Care Med       Date:  2018-01-15       Impact factor: 21.405

4.  Artificial Intelligence in Imaging: The Radiologist's Role.

Authors:  Daniel L Rubin
Journal:  J Am Coll Radiol       Date:  2019-09       Impact factor: 5.532

5.  Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Authors:  Ju Gang Nam; Sunggyun Park; Eui Jin Hwang; Jong Hyuk Lee; Kwang-Nam Jin; Kun Young Lim; Thienkai Huy Vu; Jae Ho Sohn; Sangheum Hwang; Jin Mo Goo; Chang Min Park
Journal:  Radiology       Date:  2018-09-25       Impact factor: 11.105

6.  End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.

Authors:  Diego Ardila; Atilla P Kiraly; Sujeeth Bharadwaj; Bokyung Choi; Joshua J Reicher; Lily Peng; Daniel Tse; Mozziyar Etemadi; Wenxing Ye; Greg Corrado; David P Naidich; Shravya Shetty
Journal:  Nat Med       Date:  2019-05-20       Impact factor: 53.440

Review 7.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

Review 8.  Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States.

Authors:  Filippo Pesapane; Caterina Volonté; Marina Codari; Francesco Sardanelli
Journal:  Insights Imaging       Date:  2018-08-15

Review 9.  Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges.

Authors:  Eui Jin Hwang; Chang Min Park
Journal:  Korean J Radiol       Date:  2020-05       Impact factor: 3.500

10.  Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

Authors:  Pranav Rajpurkar; Jeremy Irvin; Robyn L Ball; Kaylie Zhu; Brandon Yang; Hershel Mehta; Tony Duan; Daisy Ding; Aarti Bagul; Curtis P Langlotz; Bhavik N Patel; Kristen W Yeom; Katie Shpanskaya; Francis G Blankenberg; Jayne Seekins; Timothy J Amrhein; David A Mong; Safwan S Halabi; Evan J Zucker; Andrew Y Ng; Matthew P Lungren
Journal:  PLoS Med       Date:  2018-11-20       Impact factor: 11.069
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